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Theoretical systematics Integrating efficiency fitting

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Presentation on theme: "Theoretical systematics Integrating efficiency fitting"— Presentation transcript:

1 Theoretical systematics Integrating efficiency fitting
Overall fitting Slope systematics Apply fit and extract k Fix k to 100%, 90%, 80% of extracted value Re-fit spectrum and extract interference parameter c

2 Minbias 0 < y < 0.5

3 Minbias 0.5 < y < 1.0

4 Topology 0.1 < y < 0.5

5 Topology 0.5 < y < 1.0

6 Results Summary c 2/dof Minbias 0.0 < y < 0.5 1.01±0.08 56/47
0.920.11 83/47 Topology 0.1 < y < 0.5 0.83±0.12 90/47 1.040.21 81/47

7 Minbias 0 < y < 0.5

8 Minbias 0.5 < y < 1.0

9 Topology 0.1 < y < 0.5

10 Topology 0.5 < y < 1.0

11 Slope Parameter Fitting
Dataset 100% 90% 80% minbias 0 < y < 0.5 1.01 1.00 0.99 0.5 < y < 1.0 0.92 0.91 topology 0.1 < y < 0.5 0.83 0.87 1.04 1.10 Dataset 100% 90% 80% minbias 0 < y < 0.5 1.00 0.99 0.5 < y < 1.0 0.91 0.90 topology 0.1 < y < 0.5 0.87 0.95 1.02 1.09 Efficiency corrected

12 Results Summary c 2/dof Minbias 0.1 < y < 0.5 1.009± 0.081
50.77/47 0.5 < y < 1.0 0.92750.1095 80.18/47 Topology 0.8487± 0.1192 87.92/47 1.0590.208 83.81/47


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